Java examples for Machine Learning AI:weka
Load Save weka Data
/*/*from w w w. j a va2s . c o m*/ * How to use WEKA API in Java * Copyright (C) 2014 * @author Dr Noureddin M. Sadawi (noureddin.sadawi@gmail.com) * * This program is free software: you can redistribute it and/or modify * it as you wish ... * I ask you only, as a professional courtesy, to cite my name, web page * and my YouTube Channel! * */ package weka.api; import weka.core.Instances; import weka.core.converters.ArffSaver; //import java.io.BufferedReader; import java.io.File; //import java.io.FileReader; import weka.core.converters.ConverterUtils.DataSource; public class LoadSaveData { public static void main(String args[]) throws Exception { DataSource source = new DataSource( "/home/likewise-open/ACADEMIC/csstnns/test/house.arff"); Instances dataset = source.getDataSet(); //Instances dataset = new Instances(new BufferedReader(new FileReader("/home/likewise-open/ACADEMIC/csstnns/test/house.arff"))); System.out.println(dataset.toSummaryString()); ArffSaver saver = new ArffSaver(); saver.setInstances(dataset); saver.setFile(new File( "/home/likewise-open/ACADEMIC/csstnns/Desktop/new.arff")); saver.writeBatch(); } }